MCP Servers

This repository standardizes LLM interaction with MCP servers, which expose tools, execute functions, provide static content, and offer preset prompts through a unified framework. This repository standardizes LLM interaction with

TypeScript Model Context Protocol (MCP) server boilerplate providing IP lookup tools/resources. Includes CLI support and extensible structure for connecting AI systems (LLMs) to external data sources

Oatpp-mcp implements Anthropic's Model Context Protocol for Oat++, enabling LLM integration with your Oat++ API through autogenerated tools. It supports STDIO and HTTP SSE transports, along with Prompts, Resources, and Tools.

This repository provides an MCP server that allows AI assistants to access web data through Oxylabs' web scraping technology, enabling them to scrape, render, and extract content while bypassing anti-scraping measures.

This repository provides a Spring AI-based Model Context Protocol (MCP) client for interacting with MCP-supported servers, enabling AI chat interactions using Anthropic and OpenAI models. This repository provides a Spring

This repository provides an open-source ecosystem for the Model Context Protocol (MCP), enabling the development, discovery, and deployment of MCP servers and clients for secure AI integrations in enterprise environments.

This repository provides a sample MCP server and client using Aspire, demonstrating MCP communication within a structured Aspire environment, including a Blazor Chat client and integration with LLMs for function calling.

MCP Server Box is a Python project integrating with the Box API for file operations like search, text extraction, and AI-based querying. It uses the Model Context Protocol to manage

This repository demonstrates Model Context Protocol (MCP) integration using Pokemon data, featuring an MCP server and client, and an HTTP server enabling LLMs to utilize Pokemon tools via OpenRouter.

This repository provides a Model Context Protocol (MCP) server that connects to Databricks, enabling LLMs to execute SQL queries, list jobs, retrieve job statuses, and access detailed job information.

This repository provides a Model Context Protocol (MCP) server that exposes OpenAPI schema information to Large Language Models, enabling them to explore and understand API specifications through specialized tools.

This repository hosts a Model Context Protocol (MCP) server that facilitates interaction with the World Bank's open data API, enabling AI assistants to list and analyze indicators for various countries.

The MATLAB MCP server provides AI users with powerful scientific computing and data analysis capabilities. It allows users to execute MATLAB code directly in conversations, generate MATLAB scripts fro

This repository provides an MCP server for image generation using the Replicate Flux model, enabling users to generate images through Claude Desktop with either NPX or local installation, requiring a

The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI inter